Doe wat je niet laten kan: A usage-based analysis of Dutch causative constructions. Natalia Levshina
|
|
- Scarlett Booker
- 8 years ago
- Views:
Transcription
1 Doe wat je niet laten kan: A usage-based analysis of Dutch causative constructions Natalia Levshina RU Quantitative Lexicology and Variational Linguistics Faculteit Letteren Subfaculteit Taalkunde K.U.Leuven
2 Outline The object of the study Theoretical and methodological goals Data and methods Results Conclusions
3 Dutch causative constructions Haar stem deed het glas barsten. her voice made the glass break
4 Dutch causative constructions Haar stem deed het glas barsten. her voice made the glass break Harry liet het glas barsten. Harry made the glass break
5 Dutch causative constructions Haar stem deed het glas barsten. her voice made the glass break Harry liet het glas barsten. Harry made the glass break Causer
6 Dutch causative constructions Haar stem deed het glas barsten. her voice made the glass break Harry liet het glas barsten. Harry made the glass break Auxiliary
7 Dutch causative constructions Haar stem deed het glas barsten. her voice made the glass break Harry liet het glas barsten. Harry made the glass break Causee
8 Dutch causative constructions Haar stem deed het glas barsten. her voice made the glass break Harry liet het glas barsten. Harry made the glass break Effected Predicate
9 Previous research (1) Conceptual differences between the Cxs (Kemmer & Verhagen 1994; Verhagen & Kemmer 1997; Degand 2001; Stukker 2005) doen laten direct causation there is no intervening energy source 'downstream' from the initiator: if the energy is put in, the effect is the inevitable result (V&K 1997) indirect causation some other force besides the initiator is the most immediate source of energy in the effected event (V&K 1997)
10 Conceptual difference Haar stem deed het glas barsten. her voice made the glass break directly: sound resonance Harry liet het glas barsten. Harry made the glass break indirectly: the power of his magic wand
11 Previous research (2) Lexical fixation (Speelman & Geeraerts 2009) doen is more collocationally bound than laten Lectal variation (Speelman & Geeraerts 2009) doen is more frequently used in Belgian Dutch and in formal communication: an obsolescent form with a tendency towards lexical and semantic specialization Historical change (Duinhoven 1994; Verhagen 1994) doen has lost some usage schemata (e.g. interpersonal authoritative causation) with time
12 Outline The object of the study Theoretical and methodological goals Data and methods Results Conclusions
13 Towards a Hybrid Semantics 'Analogue' Semantics (CogLing) 'Digital' Semantics (CorpLing, CompLing) Perspective mostly polysemy gram. 'alternations' and lexical relationships Context maximally contextualized, no distinction between concepts and use minimally contextualized, contextual variation kept separate Methods introspective, interpretative formal, computational
14 why not combine the best of both worlds? (digital semantics with 'warm vinyl sound')
15 Aims PERSPECTIVE: combine the semasiological and onomasiological perspectives on doen and laten i.e. internal structure and distinctive features (cf. Geeraerts et al. 1994; Stukker 2005; Glynn 2007) CONTEXT: explore if there is geographic and register variation in the semantics of the constructions METHOD: develop a quantitative approach that would allow for an intuitive representation and qualitative interpretation of meaning
16 Outline The object of the study Theoretical and methodological goals Data and method Results Conclusions
17 Corpus data Register \ Country The Netherlands Flanders Spontaneous face-to-face conversations CGN (a) CGN (a) Newspapers (politics, economy, football, music) Postings in online discussion groups (politics, economy, football, music) TwNC Usenet.nl LeNC Usenet.be (in Dutch) Total: 5672 instances of doen and laten
18 Variables Causer, Causee, Affectee: sem. class, person, number, definiteness, POS, synt. expression Effected Predicate: transitivity, prepositional complements, semantic class of the caused event, lemma Coreferentiality and possession relations btw. the participants Causee only: intentionality, semantic role Negation, adverbial modifiers Mood, tense, type of the clause and sentence Total: 35 categorical variables
19 Analytical Procedure Data frame with observations (rows) and variables (columns)
20 Analytical Procedure Data frame with observations (rows) and variables (columns) Matrix of distances between the observations based on Gower's distance metric
21 Analytical Procedure Data frame with observations (rows) and variables (columns) Matrix of distances between the observations based on Gower's distance metric Multivariate analyses (MDS, hclust) to explore the semantic structure
22 Analytical Procedure Data frame with observations (rows) and variables (columns) Matrix of distances between the observations based on Gower's distance metric Multivariate analyses (MDS, hclust) to explore the semantic structure Confirmatory analyses (mixed GLM, random forests, etc.)
23 'Digital' Operationalization of 'analogue' semantics MDS dimensions = dimensions of semantic variation clusters of exemplars = 'senses'/usage patterns density of specific senses/usage patterns = entrenchment discontinuities = autonomy of specific senses/usage patterns etc.
24 Outline The object of the study Theoretical and methodological goals Data and method Results - semasiology meets onomasiology - lectal variation: is it done with doen? Conclusions
25 Semasiology: Semantics of doen
26 doen: dimensions volitional Causees non-volitional Causees mental caused events non-mental caused events
27 Semasiology: summary the main dimensions of doen and laten are identical: the semantic domain of the caused event, volitionality (agentivity, autonomy) of the Causee, i.e. direct indirect causation directness/indirectness of causation is a matter of degree no outspoken central sense in either construction no discrete senses, although relatively autonomous regions correspond to highly frequent doen denken aan and laten weten/zien... etc. (cf. Bybee 2010) the data challenge traditional radial network models used in Analogue Semantics
28 Onomasiology: doen vs. laten
29 Onomasiology: Summary the main distinction between doen and laten is that of directness and indirectness of causation (vertical dimension) there is also some evidence of mental caused events preferring doen (horizontal dimension) clear exemplar effects for doen denken aan and other lexically specific collocations (also in a mixed effect model) the most distinctive exemplars are not the most central (prototypical), especially for laten the results challenge the all-covering notion of 'The Prototype' used by some linguists
30 Outline The object of the study Theoretical and methodological goals Data and method Results - semasiology meets onomasiology - lectal variation: is it done with doen? Conclusions
31 doen: Quantitative differences Frequency of causative doen, per million words Belgium Netherlands Newspapers Usenet Spoken dialogues
32 doen: Belgian newspapers
33 doen: Belgian Usenet
34 doen: Belgian conversations
35 doen: Netherlandic newspapers
36 doen: Netherlandic Usenet
37 doen: Netherlandic conversations
38 Lectal variation: Summary doen is quantitatively and qualitatively (doen denken aan) more restricted in the Netherlandic and informal lects (cf. S&G 2009) laten exhibits less quantitative variation, although the frequency of laten zien and laten weten is surprisingly high in the Netherlandic variety, especially in the newspapers for both doen and laten, the Netherlandic variety has higher frequencies of specific lexical collocations with a high degree of autonomy these lexicalization processes have especially dramatic consequences for doen, which may be on its way to becoming a bound morpheme
39 Outline The object of the study Theoretical and methodological goals Data and methods Results Conclusions
40 Conclusions METHOD: the method allows for the quantitative operationalization of the main descriptive notions of semantics; one can model Gestalt-like concepts and senses with the help of individual observable features PERSPECTIVE: the results demonstrate complementarity of the semasiological and onomasiological perspectives. The centrality (prototypicality) and distinctiveness (cue validity) are not equal, especially for the semantically broader laten CONTEXT: the analysis of lectal variation shows that the most outspoken differences are related to the higher frequency of the lexicalized semi-autonomous constructions in the NL lects, which might suggest an ongoing fragmentation of the categories.
41 Future research experimental support of the corpus-based operationalizations of semantic phenomena main dimensions of variation: universal or construction-specific? a detailed lectally specific protocol of the historical changes in the semantic space of doen and laten
42 Thank you!
Comparing constructicons: A cluster analysis of the causative constructions with doen in Netherlandic and Belgian Dutch.
Comparing constructicons: A cluster analysis of the causative constructions with doen in Netherlandic and Belgian Dutch Natalia Levshina Outline 1. Dutch causative Cx with doen 2. Data and method 3. Quantitative
More informationDoe wat je niet laten kan: A usage-based analysis of Dutch causative constructions
Doe wat je niet laten kan: A usage-based analysis of Dutch causative constructions Supervisors: Natalia Levshina Dirk Geeraerts Dirk Speelman University of Leuven RU Quantitative Lexicology and Variational
More informationDoe wat je niet laten kan: A usage-based analysis of Dutch causative constructions
FACULTEIT LETTEREN SUBFACULTEIT TAALKUNDE KATHOLIEKE UNIVERSITEIT LEUVEN Doe wat je niet laten kan: A usage-based analysis of Dutch causative constructions Proefschrift ingediend tot het behalen van de
More informationAn integrative exemplar-based model of semantic structure: The Dutch causative construction with laten 1
An integrative exemplar-based model of semantic structure: The Dutch causative construction with laten 1 Natalia Levshina Abstract The paper addresses an under-investigated issue of the structure of constructional
More informationUniversity of Marburg, RC Deutscher Sprachatlas University of Leuven, RU Quantitative Lexicology and Variational Linguistics
Construction Grammar meets Semantic Vector Spaces: A radically data-driven approach to semantic classification of slot fillers Natalia Levshina Kris Heylen University of Marburg, RC Deutscher Sprachatlas
More informationTracking change in word meaning
Overview Intro DisSem Previous Case Visualisation Conclusion References Tracking change in word meaning A dynamic visualization of diachronic distributional semantics Kris Heylen, Thomas Wielfaert & Dirk
More informationCausality marking across levels of language structure. A cognitive semantic analysis of causal verbs and causal connectives in Dutch
Causality marking across levels of language structure A cognitive semantic analysis of causal verbs and causal connectives in Dutch Published by LOT phone: +31 30 253 6006 Trans 10 fax: +31 30 253 6000
More informationVarieties of lexical variation
Dirk Geeraerts University of Leuven Varieties of lexical Abstract This paper presents the theoretical backgr ound of a large-scale lexicological research project on lexical that was carried out at the
More informationCLARIN project DiscAn :
CLARIN project DiscAn : Towards a Discourse Annotation system for Dutch language corpora Ted Sanders Kirsten Vis Utrecht Institute of Linguistics Utrecht University Daan Broeder TLA Max-Planck Institute
More informationCOMPUTATIONAL DATA ANALYSIS FOR SYNTAX
COLING 82, J. Horeck~ (ed.j North-Holland Publishing Compa~y Academia, 1982 COMPUTATIONAL DATA ANALYSIS FOR SYNTAX Ludmila UhliFova - Zva Nebeska - Jan Kralik Czech Language Institute Czechoslovak Academy
More informationLexical convergence in the Dutch lexicon
Overview Introduction Dutch Method Results Lexical convergence in the Dutch lexicon Jocelyne Daems Kris Heylen Dirk Geeraerts University of Leuven RU Quantitative Lexicology and Variational Linguistics
More informationComparing because to want; How connectives affect the processing of causal relations.
MAD 2010, Moissac, 17 20 march 2010 Comparing because to want; How connectives affect the processing of causal relations. Anneloes Canestrelli (1), Ted Sanders (2), Pim Mak (3) (1)Uil- OTS, Utrecht University
More informationFOREIGN AFFAIRS PROGRAM EVALUATION GLOSSARY CORE TERMS
Activity: A specific action or process undertaken over a specific period of time by an organization to convert resources to products or services to achieve results. Related term: Project. Appraisal: An
More informationGLOSSARY OF EVALUATION TERMS
Planning and Performance Management Unit Office of the Director of U.S. Foreign Assistance Final Version: March 25, 2009 INTRODUCTION This Glossary of Evaluation and Related Terms was jointly prepared
More informationSPRING SCHOOL. Empirical methods in Usage-Based Linguistics
SPRING SCHOOL Empirical methods in Usage-Based Linguistics University of Lille 3, 13 & 14 May, 2013 WORKSHOP 1: Corpus linguistics workshop WORKSHOP 2: Corpus linguistics: Multivariate Statistics for Semantics
More informationClustering Connectionist and Statistical Language Processing
Clustering Connectionist and Statistical Language Processing Frank Keller keller@coli.uni-sb.de Computerlinguistik Universität des Saarlandes Clustering p.1/21 Overview clustering vs. classification supervised
More informationProject notes of CLARIN project DiscAn: Towards a Discourse Annotation system for Dutch language corpora
Project notes of CLARIN project DiscAn: Towards a Discourse Annotation system for Dutch language corpora Ted Sanders University Utrecht Utrecht Institute of Linguistics Trans 10 NL-3512 JK Utrecht T.J.M.Sanders@uu.nl
More informationCausality in verbs and in discourse connectives: Converging evidence of cross-level parallels in Dutch linguistic categorization
Journal of Pragmatics 40 (2008) 1296 1322 www.elsevier.com/locate/pragma Causality in verbs and in discourse connectives: Converging evidence of cross-level parallels in Dutch linguistic categorization
More informationThe Chat Box Revelation On the chat language of Flemish adolescents and young adults
!"#$%&'(*+,&(-,.,+/$"#('0 1**234567875549:#,(-; &81**2456787
More informationBridging CAQDAS with text mining: Text analyst s toolbox for Big Data: Science in the Media Project
Bridging CAQDAS with text mining: Text analyst s toolbox for Big Data: Science in the Media Project Ahmet Suerdem Istanbul Bilgi University; LSE Methodology Dept. Science in the media project is funded
More informationLearning is a very general term denoting the way in which agents:
What is learning? Learning is a very general term denoting the way in which agents: Acquire and organize knowledge (by building, modifying and organizing internal representations of some external reality);
More informationAnnotation Guidelines for Dutch-English Word Alignment
Annotation Guidelines for Dutch-English Word Alignment version 1.0 LT3 Technical Report LT3 10-01 Lieve Macken LT3 Language and Translation Technology Team Faculty of Translation Studies University College
More informationChapter 8. Final Results on Dutch Senseval-2 Test Data
Chapter 8 Final Results on Dutch Senseval-2 Test Data The general idea of testing is to assess how well a given model works and that can only be done properly on data that has not been seen before. Supervised
More informationData Deduplication in Slovak Corpora
Ľ. Štúr Institute of Linguistics, Slovak Academy of Sciences, Bratislava, Slovakia Abstract. Our paper describes our experience in deduplication of a Slovak corpus. Two methods of deduplication a plain
More informationCINTIL-PropBank. CINTIL-PropBank Sub-corpus id Sentences Tokens Domain Sentences for regression atsts 779 5,654 Test
CINTIL-PropBank I. Basic Information 1.1. Corpus information The CINTIL-PropBank (Branco et al., 2012) is a set of sentences annotated with their constituency structure and semantic role tags, composed
More informationAppendices master s degree programme Human Machine Communication 2014-2015
Appendices master s degree programme Human Machine Communication 2014-2015 Appendix I Teaching outcomes of the degree programme (art. 1.3) 1. The master demonstrates knowledge, understanding and the ability
More informationTracking Lexical and Syntactic Alignment in Conversation
Tracking Lexical and Syntactic Alignment in Conversation Christine Howes, Patrick G. T. Healey and Matthew Purver {chrizba,ph,mpurver}@dcs.qmul.ac.uk Queen Mary University of London Interaction, Media
More informationThe international conference Networks in the Global World. Bridging Theory and Method: American, European, and Russian Studies took place at St.
The international conference Networks in the Global World. Bridging Theory and Method: American, European, and Russian Studies took place at St. Petersburg State University on June 27-29, 2014. It was
More informationDepartment/Academic Unit: Public Health Sciences Degree Program: Biostatistics Collaborative Program
Department/Academic Unit: Public Health Sciences Degree Program: Biostatistics Collaborative Program Department of Mathematics and Statistics Degree Level Expectations, Learning Outcomes, Indicators of
More informationA Proposal for the use of Artificial Intelligence in Spend-Analytics
A Proposal for the use of Artificial Intelligence in Spend-Analytics Mark Bishop, Sebastian Danicic, John Howroyd and Andrew Martin Our core team Mark Bishop PhD studied Cybernetics and Computer Science
More informationFairfield Public Schools
Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity
More informationSense-Tagging Verbs in English and Chinese. Hoa Trang Dang
Sense-Tagging Verbs in English and Chinese Hoa Trang Dang Department of Computer and Information Sciences University of Pennsylvania htd@linc.cis.upenn.edu October 30, 2003 Outline English sense-tagging
More informationGallito 2.0: a Natural Language Processing tool to support Research on Discourse
Presented in the Twenty-third Annual Meeting of the Society for Text and Discourse, Valencia from 16 to 18, July 2013 Gallito 2.0: a Natural Language Processing tool to support Research on Discourse Guillermo
More informationPresented to The Federal Big Data Working Group Meetup On 07 June 2014 By Chuck Rehberg, CTO Semantic Insights a Division of Trigent Software
Semantic Research using Natural Language Processing at Scale; A continued look behind the scenes of Semantic Insights Research Assistant and Research Librarian Presented to The Federal Big Data Working
More informationA Framework of Context-Sensitive Visualization for User-Centered Interactive Systems
Proceedings of 10 th International Conference on User Modeling, pp423-427 Edinburgh, UK, July 24-29, 2005. Springer-Verlag Berlin Heidelberg 2005 A Framework of Context-Sensitive Visualization for User-Centered
More informationSelected Topics in Applied Machine Learning: An integrating view on data analysis and learning algorithms
Selected Topics in Applied Machine Learning: An integrating view on data analysis and learning algorithms ESSLLI 2015 Barcelona, Spain http://ufal.mff.cuni.cz/esslli2015 Barbora Hladká hladka@ufal.mff.cuni.cz
More informationCorpus data in usage-based linguistics
Corpus data in usage-based linguistics What s the right degree of granularity for the analysis of argument structure constructions?* Stefan Th. Gries University of California, Santa Barbara The use of
More informationCIMA VISITING PROFESSOR LECTURE MANAGEMENT ACCOUNTING CHANGE: ORGANIZATIONAL CAUSES AND INDIVIDUAL EFFECTS
CIMA VISITING PROFESSOR LECTURE MANAGEMENT ACCOUNTING CHANGE: ORGANIZATIONAL CAUSES AND INDIVIDUAL EFFECTS MICHAEL SHIELDS MICHIGAN STATE UNIVERSITY MAY 2007 THE ONLY CONSTANT IS CHANGE Organizations are
More informationMethods in writing process research
Carmen Heine, Dagmar Knorr and Jan Engberg Methods in writing process research Introduction and overview 1 Introduction Research methods are at the core of assumptions, hypotheses, research questions,
More informationBasic Data Analysis. Stephen Turnbull Business Administration and Public Policy Lecture 12: June 22, 2012. Abstract. Review session.
June 23, 2012 1 review session Basic Data Analysis Stephen Turnbull Business Administration and Public Policy Lecture 12: June 22, 2012 Review session. Abstract Quantitative methods in business Accounting
More informationAlgebra 1 2008. Academic Content Standards Grade Eight and Grade Nine Ohio. Grade Eight. Number, Number Sense and Operations Standard
Academic Content Standards Grade Eight and Grade Nine Ohio Algebra 1 2008 Grade Eight STANDARDS Number, Number Sense and Operations Standard Number and Number Systems 1. Use scientific notation to express
More informationCULTURAL STUDIES AND CROSS-CULTURAL CAPABILITY
1 Course Syllabus CODE number: CMM 302G CULTURAL STUDIES AND CROSS-CULTURAL CAPABILITY Number of ECTS: 6 Contact Details for Professor Jan Walravens Tel: +32(0)26148170 (Vesalius College reception) E-mail:
More informationCrossing Corpora. Modelling Semantic Similarity across Languages and Lects.
Distributional Models Bilectal Bilingual Crossing Corpora. Modelling Semantic Similarity across Languages and Lects. Yves Peirsman Supervisors: Dirk Geeraerts & Dirk Speelman Quantitative Lexicology and
More informationMATRIX OF STANDARDS AND COMPETENCIES FOR ENGLISH IN GRADES 7 10
PROCESSES CONVENTIONS MATRIX OF STANDARDS AND COMPETENCIES FOR ENGLISH IN GRADES 7 10 Determine how stress, Listen for important Determine intonation, phrasing, points signaled by appropriateness of pacing,
More informationTexas Success Initiative (TSI) Assessment. Interpreting Your Score
Texas Success Initiative (TSI) Assessment Interpreting Your Score 1 Congratulations on taking the TSI Assessment! The TSI Assessment measures your strengths and weaknesses in mathematics and statistics,
More informationText Analytics. A business guide
Text Analytics A business guide February 2014 Contents 3 The Business Value of Text Analytics 4 What is Text Analytics? 6 Text Analytics Methods 8 Unstructured Meets Structured Data 9 Business Application
More informationUNIVERSIDAD NACIONAL ABIERTA Y A DISTANCIA ESCUELA CIENCIAS DE LA EDUCACIÓN
UNIVERSIDAD NACIONAL ABIERTA Y A DISTANCIA ESCUELA CIENCIAS DE LA EDUCACIÓN 551018 FIRST AND SECOND LANGUAGE ACQUITION AND LEARNING Julio Tulande Henry Carvajal Evaluador UNAD Enero de 2014 1 551018 First
More informationMasters of Science (MS) in Educational Psychology
College of Education and Human Development (CEHD) Graduate School of Education (GSE) School of Recreation, Health, and Tourism (SRHT) Masters Programs Teacher Licensure Certification Programs & Advanced
More informationCorrelation: ELLIS. English language Learning and Instruction System. and the TOEFL. Test Of English as a Foreign Language
Correlation: English language Learning and Instruction System and the TOEFL Test Of English as a Foreign Language Structure (Grammar) A major aspect of the ability to succeed on the TOEFL examination is
More informationDIAGRAMMING SENTENCES
Diagramming sentences provides a way of picturing the structure of a sentence. By placing the various parts of a sentence in relation to the basic subject-verb relationship, we can see how the parts fit
More informationHow the Computer Translates. Svetlana Sokolova President and CEO of PROMT, PhD.
Svetlana Sokolova President and CEO of PROMT, PhD. How the Computer Translates Machine translation is a special field of computer application where almost everyone believes that he/she is a specialist.
More informationSummarizing and Displaying Categorical Data
Summarizing and Displaying Categorical Data Categorical data can be summarized in a frequency distribution which counts the number of cases, or frequency, that fall into each category, or a relative frequency
More informationTelecommunication (120 ЕCTS)
Study program Faculty Cycle Software Engineering and Telecommunication (120 ЕCTS) Contemporary Sciences and Technologies Postgraduate ECTS 120 Offered in Tetovo Description of the program This master study
More informationQualitative Corporate Dashboards for Corporate Monitoring Peng Jia and Miklos A. Vasarhelyi 1
Qualitative Corporate Dashboards for Corporate Monitoring Peng Jia and Miklos A. Vasarhelyi 1 Introduction Electronic Commerce 2 is accelerating dramatically changes in the business process. Electronic
More informationModule Catalogue for the Bachelor Program in Computational Linguistics at the University of Heidelberg
Module Catalogue for the Bachelor Program in Computational Linguistics at the University of Heidelberg March 1, 2007 The catalogue is organized into sections of (1) obligatory modules ( Basismodule ) that
More informationTheoretical Perspective
Preface Motivation Manufacturer of digital products become a driver of the world s economy. This claim is confirmed by the data of the European and the American stock markets. Digital products are distributed
More informationCOURSES IN ENGLISH AND OTHER LANGUAGES AT THE UNIVERSITY OF HUELVA 2014-15 (update: 24 th July 2014)
COURSES IN ENGLISH AND OTHER LANGUAGES AT THE UNIVERSITY OF HUELVA 2014-15 (update: 24 th July 2014) (*Max. Erasmus students 10/15 per class) To be updated with more courses. Other specific Subjects-Specially
More informationTRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS
9 8 TRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS Assist. Prof. Latinka Todoranova Econ Lit C 810 Information technology is a highly dynamic field of research. As part of it, business intelligence
More informationTeaching terms: a corpus-based approach to terminology in ESP classes
Teaching terms: a corpus-based approach to terminology in ESP classes Maria João Cotter Lisbon School of Accountancy and Administration (ISCAL) (Portugal) Abstract This paper will build up on corpus linguistic
More informationLANGUAGE! 4 th Edition, Levels A C, correlated to the South Carolina College and Career Readiness Standards, Grades 3 5
Page 1 of 57 Grade 3 Reading Literary Text Principles of Reading (P) Standard 1: Demonstrate understanding of the organization and basic features of print. Standard 2: Demonstrate understanding of spoken
More informationIntroduction. 1.1 Kinds and generalizations
Chapter 1 Introduction 1.1 Kinds and generalizations Over the past decades, the study of genericity has occupied a central place in natural language semantics. The joint work of the Generic Group 1, which
More informationQualitative data acquisition methods (e.g. Interviews and observations) -.
Qualitative data acquisition methods (e.g. Interviews and observations) -. Qualitative data acquisition methods (e.g. Interviews and observations) ( version 0.9, 1/4/05 ) Code: data-quali Daniel K. Schneider,
More informationHow To Analyse The Diffusion Patterns Of A Lexical Innovation In Twitter
GOOD MORNING TWEETHEARTS! : THE DIFFUSION OF A LEXICAL INNOVATION IN TWITTER REBECCA MAYBAUM (University of Haifa) Abstract The paper analyses the diffusion patterns of a community-specific lexical innovation,
More informationSome Implications of Controlling Contextual Constraint: Exploring Word Meaning Inference by Using a Cloze Task
Some Implications of Controlling Contextual Constraint: Exploring Word Meaning Inference by Using a Cloze Task Abstract 20 vs Keywords: Lexical Inference, Contextual Constraint, Cloze Task 1. Introduction
More informationMaster of Arts in Linguistics Syllabus
Master of Arts in Linguistics Syllabus Applicants shall hold a Bachelor s degree with Honours of this University or another qualification of equivalent standard from this University or from another university
More informationLivingston Public Schools Scope and Sequence K 6 Grammar and Mechanics
Grade and Unit Timeframe Grammar Mechanics K Unit 1 6 weeks Oral grammar naming words K Unit 2 6 weeks Oral grammar Capitalization of a Name action words K Unit 3 6 weeks Oral grammar sentences Sentence
More informationTHE REASONING ART: or, The Need for an Analytical Theory of Architecture
P ROCEEDINGS VOLUME I SPACE SYNTAX TODAY THE REASONING ART: or, The Need for an Analytical Theory of Architecture Professor Bill Hillier and Dr Julienne Hanson University College London, London, England
More informationEmo Dialogue: Differences in male and female ways of communicating with affective autonomous conversational systems
Emo Dialogue: Differences in male and female ways of communicating with affective autonomous conversational systems Brigitte Krenn, Stephanie Schreitter Background Within the project CyberEmotions, a series
More informationCLUSTER ANALYSIS FOR SEGMENTATION
CLUSTER ANALYSIS FOR SEGMENTATION Introduction We all understand that consumers are not all alike. This provides a challenge for the development and marketing of profitable products and services. Not every
More informationSimple maths for keywords
Simple maths for keywords Adam Kilgarriff Lexical Computing Ltd adam@lexmasterclass.com Abstract We present a simple method for identifying keywords of one corpus vs. another. There is no one-sizefits-all
More informationUsing Four-Quadrant Charts for Two Technology Forecasting Indicators: Technology Readiness Levels and R&D Momentum
Using Four-Quadrant Charts for Two Technology Forecasting Indicators: Technology Readiness Levels and R&D Momentum Tang, D. L., Wiseman, E., & Archambeault, J. Canadian Institute for Scientific and Technical
More informationBig Data: Rethinking Text Visualization
Big Data: Rethinking Text Visualization Dr. Anton Heijs anton.heijs@treparel.com Treparel April 8, 2013 Abstract In this white paper we discuss text visualization approaches and how these are important
More informationA FUZZY BASED APPROACH TO TEXT MINING AND DOCUMENT CLUSTERING
A FUZZY BASED APPROACH TO TEXT MINING AND DOCUMENT CLUSTERING Sumit Goswami 1 and Mayank Singh Shishodia 2 1 Indian Institute of Technology-Kharagpur, Kharagpur, India sumit_13@yahoo.com 2 School of Computer
More informationPhase 2 of the D4 Project. Helmut Schmid and Sabine Schulte im Walde
Statistical Verb-Clustering Model soft clustering: Verbs may belong to several clusters trained on verb-argument tuples clusters together verbs with similar subcategorization and selectional restriction
More information1. The semantic complexity of grammatical constructions
The Complex Domain Matrix of Ditransitive Constructions ENRIQUE HUELVA-UNTERNBAUMEN Nacional University of Brasilia Abstract This study focuses on the semantics of ditransitive constructions. Its main
More informationLecture 2: Descriptive Statistics and Exploratory Data Analysis
Lecture 2: Descriptive Statistics and Exploratory Data Analysis Further Thoughts on Experimental Design 16 Individuals (8 each from two populations) with replicates Pop 1 Pop 2 Randomly sample 4 individuals
More informationHow To Identify And Represent Multiword Expressions (Mwe) In A Multiword Expression (Irme)
The STEVIN IRME Project Jan Odijk STEVIN Midterm Workshop Rotterdam, June 27, 2008 IRME Identification and lexical Representation of Multiword Expressions (MWEs) Participants: Uil-OTS, Utrecht Nicole Grégoire,
More informationComparing Ontology-based and Corpusbased Domain Annotations in WordNet.
Comparing Ontology-based and Corpusbased Domain Annotations in WordNet. A paper by: Bernardo Magnini Carlo Strapparava Giovanni Pezzulo Alfio Glozzo Presented by: rabee ali alshemali Motive. Domain information
More informationStatistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013
Statistics I for QBIC Text Book: Biostatistics, 10 th edition, by Daniel & Cross Contents and Objectives Chapters 1 7 Revised: August 2013 Chapter 1: Nature of Statistics (sections 1.1-1.6) Objectives
More informationIndex. 344 Grammar and Language Workbook, Grade 8
Index Index 343 Index A A, an (usage), 8, 123 A, an, the (articles), 8, 123 diagraming, 205 Abbreviations, correct use of, 18 19, 273 Abstract nouns, defined, 4, 63 Accept, except, 12, 227 Action verbs,
More informationFACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY AUTUMN 2016 BACHELOR COURSES
FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Please note! This is a preliminary list of courses for the study year 2016/2017. Changes may occur! AUTUMN 2016 BACHELOR COURSES DIP217 Applied Software
More informationExploratory Data Analysis for Ecological Modelling and Decision Support
Exploratory Data Analysis for Ecological Modelling and Decision Support Gennady Andrienko & Natalia Andrienko Fraunhofer Institute AIS Sankt Augustin Germany http://www.ais.fraunhofer.de/and 5th ECEM conference,
More informationTeaching English as a Foreign Language (TEFL) Certificate Programs
Teaching English as a Foreign Language (TEFL) Certificate Programs Our TEFL offerings include one 27-unit professional certificate program and four shorter 12-unit certificates: TEFL Professional Certificate
More informationCzech Verbs of Communication and the Extraction of their Frames
Czech Verbs of Communication and the Extraction of their Frames Václava Benešová and Ondřej Bojar Institute of Formal and Applied Linguistics ÚFAL MFF UK, Malostranské náměstí 25, 11800 Praha, Czech Republic
More informationA Capability Model for Business Analytics: Part 2 Assessing Analytic Capabilities
A Capability Model for Business Analytics: Part 2 Assessing Analytic Capabilities The first article of this series presented the capability model for business analytics that is illustrated in Figure One.
More informationCourse Descriptions. Seminar in Organizational Behavior II
Course Descriptions B55 MKT 670 Seminar in Marketing Management This course is an advanced seminar of doctoral level standing. The course is aimed at students pursuing a degree in business, economics or
More informationBachelor's Degree in Business Administration and Master's Degree course description
Bachelor's Degree in Business Administration and Master's Degree course description Bachelor's Degree in Business Administration Department s Compulsory Requirements Course Description (402102) Principles
More informationOverview of SEO Recon Features and Benefits
Michael Marshall, CEO Overview of SEO Recon Features and Benefits Data Collection (partial sample):... 2 Multivariate analysis: (Which Factors are Important?):... 3 Multivariate Analysis: (Which Competitors
More informationA Statistical Text Mining Method for Patent Analysis
A Statistical Text Mining Method for Patent Analysis Department of Statistics Cheongju University, shjun@cju.ac.kr Abstract Most text data from diverse document databases are unsuitable for analytical
More informationKnowledgent White Paper Series. Developing an MDM Strategy WHITE PAPER. Key Components for Success
Developing an MDM Strategy Key Components for Success WHITE PAPER Table of Contents Introduction... 2 Process Considerations... 3 Architecture Considerations... 5 Conclusion... 9 About Knowledgent... 10
More informationAppendix B Checklist for the Empirical Cycle
Appendix B Checklist for the Empirical Cycle This checklist can be used to design your research, write a report about it (internal report, published paper, or thesis), and read a research report written
More informationUNIT ONE A WORLD OF WONDERS
UNIT ONE A WORLD OF WONDERS COMPETENCIES AND PERFORMANCE INDICATORS COMPETENCIAS E INDICADORES DE DESEMPEÑO Passive voice Future Active voice Passive voice Passive voice Use of Passive Passive voice is
More informationSchool of Advanced Studies Doctor Of Management In Organizational Leadership/information Systems And Technology. DM/IST 004 Requirements
School of Advanced Studies Doctor Of Management In Organizational Leadership/information Systems And Technology The mission of the Information Systems and Technology specialization of the Doctor of Management
More informationThis Master thesis would not have its current shape without the help of several people. I
Acknowledgements This Master thesis would not have its current shape without the help of several people. I would like to thank my supervisor, Dr Marjolijn Verspoor, who guided me through the process of
More informationForensic Psychology Major Learning Objectives (adapted from APA)
Forensic Psychology (BA) Mission Statement & Learning Objectives The mission of the Forensic Psychology major is to enhance understanding of behavior, in terms of its biological, cognitive, social, emotional
More informationAppendices master s degree programme Artificial Intelligence 2014-2015
Appendices master s degree programme Artificial Intelligence 2014-2015 Appendix I Teaching outcomes of the degree programme (art. 1.3) 1. The master demonstrates knowledge, understanding and the ability
More informationTS3: an Improved Version of the Bilingual Concordancer TransSearch
TS3: an Improved Version of the Bilingual Concordancer TransSearch Stéphane HUET, Julien BOURDAILLET and Philippe LANGLAIS EAMT 2009 - Barcelona June 14, 2009 Computer assisted translation Preferred by
More informationResearch into competency models in arts education
Research into competency models in arts education Paper presented at the BMBF Workshop International Perspectives of Research in Arts Education, Nov. 4 th and 5 th, 2013. Folkert Haanstra, Amsterdam School
More informationChapter 6: Episode discovery process
Chapter 6: Episode discovery process Algorithmic Methods of Data Mining, Fall 2005, Chapter 6: Episode discovery process 1 6. Episode discovery process The knowledge discovery process KDD process of analyzing
More informationEarly Morphological Development
Early Morphological Development Morphology is the aspect of language concerned with the rules governing change in word meaning. Morphological development is analyzed by computing a child s Mean Length
More information